Analog to digital converters with integral sample rate conversion and systems and methods using the same

ABSTRACT

An integrated analog to digital and sample rate converter 206 includes sampling circuitry 207 for receiving an analog signal and generating a single or multibit stream of digital signals at a first rate. A leaky integrator filter 208 removes quantization noise from the stream of samples such that resampling can be carried out. Circuitry 209/210 resamples the filtered stream of samples output from leaky integrator filter 208 to generate an output stream of samples at a second rate.

CROSS-REFERENCE TO RELATED APPLICATION

The following co-pending and co-assigned application contains related information and is hereby incorporated by reference: Ser. No. 09/944,738 entitled “VARIABLE DUTY CYCLE RESAMPLING CIRCUITS AND METHODS AND SAMPLE RATE CONVERTERS USING THE SAME”, by inventors NAME and NAME, filed Aug. 31, 2001;.

BACKGROUND OF THE INVENTION

1. Field of Invention

The present invention relates in general to mixed analog and digital signal processing and in particular, to analog to digital converters with integral sample rate conversion and systems and methods using the same.

2. Background of Invention

In many applications, converting data from its native analog form into the digital domain for processing, storage and transmission provides the best overall system performance. One well known example is audio processing where analog audio is digitized through analog to digital (A/D) conversion and then processed, for example filtered or compressed, and then stored on a digital storage medium such as a compact disk (CD) or digital video disk (DVD). On playback, the digital data is decompressed, as required, reconverted to analog through digital to analog (D/A) conversion, and finally presented to the end user as audible tones.

According to the Nyquist Theorem, so long as the analog waveform is sampled during A/D conversion at a sampling frequency at least twice as high as the highest frequency component, that waveform can be successively reconstructed during subsequent D/A conversion. In actual practice, oversampling A/D and D/A converters are typically used because of their relative ease in implementation. For example, in an 8× oversampling converter operating on data with a base sampling rate of 44.1 kHz, the data are sampled at a rate of 352.8 kHz. At the higher sampling rate, operations such as anti-aliasing filtering are easier since a substantial amount of the noise power is translated to frequency bands well above the band of the signal of interest.

Sample rate conversion is an additional problem which must be addressed when processing digitized analog data. For example, professional digital audio is typically recorded with a sampling rate of 48 kHz while typical playback devices operate with a base sampling rate of 44.1 kHz. Sample rate conversion, and specifically down-conversion, is therefore required to ensure that the recorded audio properly plays back. There are several existing sample rate conversion techniques, including decimation for lowering the sampling rate and interpolation for increasing the sampling rate. Notwithstanding, these techniques are still subject to some significant disadvantages including the need for substantial silicon area for fabricating the requisite interpolation/decimation filters, as well as limitations on the ability to convert to fractional sampling rates.

SUMMARY OF INVENTION

According to one embodiment of the principles, an integrated analog to digital and sample rate converter is disclosed which includes sampling circuitry for receiving an analog signal and generating a stream of digital samples at a first rate. A leaky integrator filter then removes quantization noise from the stream of digital samples thus allowing resampling to be carried out at its output. A digital filter then filters the resampled stream of samples to generate an output stream of samples at a second rate.

The leaky integrator filter has the substantial advantage of providing a relatively narrow pass band, relatively high stop band attenuation, and requiring very little silicon area. Additionally, the leaky integrator filter allows the constraints on the following digital filter stage to be substantially relaxed. Overall, the number of filter stages required to perform both analog to digital conversion and sample rate conversion is reduced which in turn reduces the amount of silicon area required during fabrication.

BRIEF DESCRIPTION OF DRAWINGS

For a more complete understanding of the present invention, and the advantages thereof, reference is now made to the following descriptions taken in conjunction with the accompanying drawings, in which: FIG. 1 is a functional block diagram of an exemplary codec suitable for describing the present inventive concepts;

FIG. 1 is a high level functional block diagram of a Codec suitable for practicing the present inventive concepts;

FIG. 2A is a functional block diagram of a conventional analog to digital converter-sample rate converter (ADC-SRC) subsystem;

FIG. 2B is a functional block diagram of a preferred integrated analog to digital converter-sample rate converter (ADC-SRC) embodying the inventive concepts;

FIG. 3 is a flow chart illustrating a preferred procedure for performing synchronous re-sampling with accumulated error compensation;

FIG. 4 is a diagram of an exemplary waveform of a control signal used to time the synchronous re-sampling operations described in FIG. 3; and

FIG. 5 is a high level functional block diagram demonstrating the generation of the waveform of FIG. 5 in hardware or software with a counter and a decoder.

DETAILED DESCRIPTION OF THE INVENTION

The principles of the present invention and their advantages are best understood by referring to the illustrated embodiment depicted in FIGS. 1-5 of the drawings, in which like numbers designate like parts.

FIG. 1 is a high level functional block diagram of a Codec 100 suitable for practicing the present inventive concepts. Codec 100 includes a digital AC '97 Link and associated registers 101 which support an interface with an external controller, such as a PCI bus-based controller, in accordance with the Intel Audio Codec '97 Specification, Revision 2.2. A digital output port 102 supports transmission of digital audio data to external audio appliances in accordance with the Sony-Philips Digital Interface (S/PDIF) protocol.

The analog section of Codec 100 includes a mixer 103 for mixing, as selected in register, analog audio data received from Line In, Compact Disk (CD) and Microphone (MIC) analog inputs, along with digital audio data received through AC-Link 101 and converted into analog form by digital to analog converter (DAC) 104. Multiplexer 105 selects between analog data received directly from the analog inputs and the output of mixer 103. The selected analog stream is subsequently converted to digital form by analog to digital converter (ADC) 110 before being formatted and transmitted through AC Link 101.

The mixed analog data output from mixer 103 can also be used to drive an external device, such as amplified speakers, or headphones. Hence, an output buffer 107 and a headphone amplifier 108 are also included in the illustrated embodiment.

Sample rate converters 109 and 106 under register control, are provided to change the sampling rate of data going to and from AC '97 Link 101. For example, the AC '97 specification requires that a compliant device support both the 44.1 and 48 kHz rates. As discussed further below in details, ADC 110 and SRC 106 can be advantageously integrated into a single circuit block 200.

For discussion purposes, first consider a conventional Delta-Sigma modulator-based A/D converter with sample rate conversion as shown by block 200 in FIG. 2A. In this case, the analog waveform is passed through an oversampling Delta-Sigma modulator 201 and converted to a 1-bit stream at the oversampling rate. The modulator also shapes the resulting quantization noise and generally translates that noise to a frequency band well above that of the signal interest. The modulator output is then passed through digital filters 202 and 203 which filter the 1-bit data to perform wideband anti-aliasing and decimate and convert the data to produce a stream of multiple-bit samples at a lower sampling rate.

Continuing with the conventional scheme, the multiple bit digital data then pass through polyphase SRC filters 205 under the control of up conversion/down conversion circuitry 204 to achieve the desired final sampling rate. Typically, during sample rate conversion these data are first upconverted, then filtered and then finally down converted such that the final sampling rate is:

f _(out) =U/D·f _(in)

where U is the up-sampling factor and D is the down-sampling factor.

As should be apparent from this brief description, the traditional A/D-sample rate conversion scheme is not optimized to reduce silicon area use. This is particularly true with respects to the multiple filter stages that are required to implement the various conversion processes. Hence, one of the purposes of the present concepts to combine filtering functions to minimize the required hardware, while at the same time still allow for fractional sample rate conversion.

FIG. 2B is a functional block diagram of a preferred integrated analog to digital converter-sample rate converter (ADC-SRC) 206 embodying the inventive concepts. The analog input waveform is sampled and converted into a 1-bit data stream at the selected oversampling rate by delta-sigma modulator 207. Delta-sigma modulator 207 also shapes the quantization noise as a function of the selected modulator order such that the majority of that noise is shifted to frequencies above the base-band of interest (in this case the audio band).

If the output from delta-sigma modulator 207 were to be directly resampled for sample rate conversion, high frequency noise will alias (fold-back) into the audio-band. Consequently, a filter 208 is required between the modulator output and the resampler. As discussed in detail below, filter 208 is preferably a two stage Leaky Integrator (IL²) filter which filters out the high frequency noise while still remaining stable around the DC point.

The output from IL² filter 208 is then passed through an integrated digital filter (IDF) 210 which outputs multi-bit digital data at the desired new base-band rate through decimation. The decimation is controlled by resampling circuitry 209 which is described in detail below. By careful selection of leaky integrator IL² filter 208 parameters, such as order and leaky factor, the complexity and silicon area consumed by IDF 210 can be advantageously reduced. For example, for a typical audio application, the required area can be approximately halved.

The signal output from the modulator, including the data and the quantization noise, will generally be a repeating spectrum of relatively broad band. Therefore, in order to avoid aliasing back into the base-band after sampling, filter 208 should be a low pass filter with a narrow or very narrow pass-band. Moreover, the stop band attenuation must be substantial, for example, −80 db or more.

An IL² filter 208 is the preferred choice at the modulator output because it is the most practical design which minimizes the silicon area required. For example, finite impulse response (FIR) or infinite impulse response (IIR) filters with narrow pass-bands and high stop band-attenuation could be used; however, such filters would have to be of a very large order thereby requiring a large number of stages and consequently significantly more silicon area. Integrator stages of cascaded integrator comb (CIC) filters are another possibility; however, instabilities can occur, especially at DC since an ideal integrator has a pole at DC.

The preferred transfer function for a two-stage cascaded leaky integrator embodiment of IL² filter 208 is:

H(z)={z ⁻¹/[1−(1−δ)z ⁻¹]}²

where δ is the leaky factor which is preferably a very small value, for example, 2⁻⁶ The maximum gain occurs at DC and is approximately 1/δ. The choice of δ is a tradeoff between hardware and filter performance; as δ increases the stop band attenuation increases but the DC gain also increases forcing a wider data path width. Advantageously, since the poles of the leaky integrator are within the unit circle, it is unconditionally stable. Also, it is very easily realizable in hardware.

Since IL² filter 208 filters out most of the high frequency components, the constraints on IDF 210 are consequently relaxed. Preferably, IDF 210 includes a decimation stage which can be implemented, for example, with a CIC filter followed by a FIR or an IIR filter. Additionally, IDF 210 also includes magnitude and/or phase compensation filters operating at the output sample rate. These compensation filters are used to compensate for any pass-band droop and/or non-linear phase shifting introduced by the leaky integrator and decimation filters.

Resampling circuitry 209 preferably implements the decimation operation by generating an enable signal controlling the clocking of data through IDF 210. Specifically, resampler 209 generates a control signal Sample_Valid with a duty cycle approximating the ratio of the output sampling rate to the input sampling rate. In other words, IDF 210 only processes samples when Sample_Valid is active and is idled when Sample_Valid is inactive. By periodically varying the duty cycle of Sample_Valid, accumulated error due to the fact that the ratio of the output sampling rate to the input sampling rate is only approximated by Sample_Valid is minimized. For example, Sample_Valid is used to drop oversampling clocks controlling one or more of the filter stages of IDF 210 to effectuate a decimation. Sample_Valid can also be used to time a zero-order hold or similar function such that an interpolation can be implemented.

Generally, an approximate (rounded) conversion factor is calculated from the ratio of the rate of the input signal to the rate of the desired output signal. Depending on the value of this ratio being closer to unity or otherwise, the objective now is to calculate active and inactive clock cycles that approximate this ratio using the smallest integer. The enclosed description covers in detail the case where the ratio is close to unity. FIG. 3 however, includes details for both cases.

A nominal duty cycle for Sample_Valid in terms of active clock cycles versus total clock cycles over a given period, with 1 inactive cycle per such period assumed, is then calculated which approximates the desired conversion factor. Since this nominal duty cycle is only approximate, if Sample_Valid is used uncorrected as the clock enable signal, an error will accumulate in the sample rate conversion process. Therefore, periodically the duty cycle of Sample_Valid is changed from the nominal to compensate for the accumulated error. Specifically, the duty cycle is stepped as required to introduce a canceling error equal in magnitude but opposite in sign to the accumulated error.

FIG. 3 is a flow chart illustrating a preferred procedure 300 for performing synchronous re-sampling, by generating Sample-Valid described above. Procedure 300 can be used either for interpolation or decimation; a basic decimation example is given below to demonstrate its application.

At Step 301, the frequency ratio (FR) of the desired output rate (frequency) to the desired input rate (frequency) is first determined. Specifically:

FR=f _(OUT) /f _(IN)

where f_(out) is the frequency of the output stream and f_(in) is the frequency of the input stream.

From the frequency ratio, a factor L is calculated at Step 302.

D=round[1/FR]

At step 303, a determination is made as to whether D is greater than one. Consider first the case where D is not greater than one. In this case, the factor L is calculated at Step 304 where:

L=round[1/(1−FR)]

L helps minimize the distortion caused by the decimation process. L represents, in number of clock cycles, one period, including active and inactive cycles, over which the duty cycle is to be selected.

For each period L, one clock cycle of Sample_Valid will be inactive and the remaining clock cycles will be active. Taking into account this assumption, the initial ratio of active cycles to total clock cycles over the period L (i.e. the duty cycle) is calculated at Step 305:

r _(INITIAL)=(L−1)/L

As previously indicated, r_(INITIAL) introduces a quantum of error with each period L with respects to the actual desired frequency ratio FR. This error and its sign are determined at Step 306 where:

Error_(INITIAL)=abs(FR−r _(INITIAL));

and

Error_Sign_(INITIAL)=sign(FR−r _(INITIAL)).

Over the course of B number of periods L, the accumulated error becomes:

Error_(ACCUMULATED) =B·Error_(INITIAL)

If at Step 307, the error calculated at Step 306 is acceptable, then at Step 308 Sample_Valid is generated using r_(INITIAL) as the duty cycle. Otherwise, the problem becomes one of selecting a value for B and a new duty cycle which can be inserted for one period after B number of L clock wide periods to introduce an error of opposite sign and magnitude to Error_(ACCUMULATED).

At Step 309, the sign of the sign of initial error (Error_Sign_(INITIAL)), is observed. The case where Error_Sign_(INITIAL) is positive will be considered first. Here, the ratio in number of active clock periods to total clock periods of Sample_Valid is stepped at Step 310;

r _(STEP+) =L/(L+1)

In the preferred embodiment, for the compensation period the number of inactive clock cycles remains fixed at one; therefore, in this case the number of active cycles is increased by 1 to L and the total number of clock in the period increased from L to L+1.

The corresponding error introduced by r_(STEP)+ is (Step 311):

Error_(STEP+)=abs(FR−r _(STEP+))

Consequently, a value for B is calculated at Step 312 preferably as:

B=round(Error_(STEP+)/Error_(INITIAL)).

At Steps 313 and 314, Sample_Valid is generated for a positive initial error. Specifically, Sample_Valid is generated with B number of L-clock long periods at the initial ratio (duty cycle) r_(INITIAL) and the corresponding error is accumulated (Step 313). The next period is L+1 total clock periods long, with L-number of active periods and 1 inactive period, in accordance with the stepped ratio (duty cycle) r_(STEP)+ is (Step 314). This process is repeated to generate Sample_Valid as needed for up-converting or down-converting. A small residual error remains which is approximately:

Error_(RESIDUAL) =FR−[B·(L−1)+L/(B·L)+L+1]

This error will typically be small enough to be within the given specification. Similar steps are performed when Error_sign_(INITIAL) is negative at Step 309. In this case, the new inactive to active ratio is calculated at Step 315 to be:

r _(STEP−)=(L−2)/(L−1)

Here, the total number of clock cycles in the period is decreased by one to L−1 and the total number of active cycles is reduced from the initial value of L−1 to L−2. The number of inactive clock cycles per total clock cycles per period in the preferred embodiment remains at 1.

The compensating error then becomes at Step 316:

Error_(STEP−)=abs(FR−r _(STEP−)).

The period number B is calculated at Step 317 as:

B=round(Error_(STEP−)/Error_(INITIAL)).

The signal Sample_Valid is generated at Steps 318 and 319. Again, B number of periods L are made at the ratio r_(INITIAL) for every L−1 clock long period at the ratio r_(STEP−). In this case the residual error is:

Error_(RESIDUAL) =FR−[B·(L−1)+(L−2)/(B·L)+L−1]

Returning to Step 303, now consider the case where 1/D=FR at subsequent Step 320. Here the estimated duty cycle D is close to the inverse of the desired frequency ration FR; therefore, at Step 321 Sample_Valid is generated with a duty cycle 1/D.

If D is greater than one, but not equal to 1/FR at Steps 303 and 320, then the factor L and a sign value S are calculated at Step 322:

S=sign((1/D)−FR)

L=round(1/(S*[(1/D)−FR]))

The initial ratio of active clock cycles to total clock cycles r_(INITIAL), is calculated at Step 323 as:

r _(INITIAL) ={L-round([D−1]*L/D)−S}/L

The error and error sign are calculated at Step 324 as:

Error_(INITIAL)=abs(FR−r _(INITIAL));

and

Error_Sign_(INITIAL)=sign(FR−R _(INITIAL)).

If at Step 325, the error is found to be acceptable, then Sample_Valid is generated at Step 326 with a duty cycle of r_(INITIAL). Otherwise, the error sign is evaluated at Step 327.

Consider the case where the error sign is positive at Step 327. In this case, a factor F is calculated at Step 328 as:

F=L+1

On the other hand, if the error sign is negative at Step 327, then factor F is calculated at Step 329 as:

F=L−1

Once F is calculated, the ratio is stepped at Step 330, where:

r _(STEP) ={F-round([D−1]*F/D)−S}/L

The error is then calculated (Step 331):

Error_(STEP)=abs(FR−r _(STEP)).

The factor B is calculated in this case at Step 332 as:

B=round(Error_(STEP−)/Errror_(initial))

A test is performed at Step 333 to determine whether B is less than 1. If it is, then B becomes 1/B at Step 334 and the process continues to Steps 335 and 336 for the generation of Sample_Valid. Otherwise, the process proceeds directly to Steps 335 and 336, where Sample_Valid is generated with a duty cycle of r_(INITIAL) for B number of L-clock cycle long periods and with a duty cycle of r_(STEP) for one L-clock cycle long period.

The application of procedure 300 can be demonstrated with respects to the down conversion of audio data recorded at a sampling frequency 48 kHz and a sampling frequency of 44.1 kHz for pre-playback processing. A maximum error of ±1000 ppm in the 44.1 kHz data stream is the given specification. In this case:

FR = 44100/48000 = 0.91875 L = round[1/(1 − 0.91875)] = 12 r_(INITIAL) = (12 − 1)/12 = 0.9166 Error_(INITIAL) = 0.91875 − 0.9166 = 0.00215 Error_Sign_(INITIAL) = positive Frequency Error = 44100 − (0.9166 · 48000) = 100 Hz or 2267 ppm.

Since the error in the output frequency of 2267 ppm well exceeds the specified ±1000 ppm, and the initial error sign Error_Sign_(INITIAL) is positive, a period L with a compensation duty cycle r_(STEP)+ must be inserted after every B number of periods L at the ratio r_(INITIAL). The exemplary calculations are as follows:

r_(STEP+) = 12/(12 + 1) = 0.9230 Error_(STEP) = 0.91875 −0.9230 = 0.00425 B = round(0.00425/0.00215) = 2

The resulting waveform is then a periodic function as illustrated in FIG. 4. FIG. 5 is a high level functional block diagram demonstrating low this waveform can be generated in hardware or software with a counter 501 and a decoder 502. For this example, counter 501 counts from 0 to 36 and then wraps back to 0. Decoder 502 decodes the count to switch Sample_Valid low (inactive) for 1 clock cycle at count values of 11, 23 and 36. The error in the final frequency is well below the specified ±1000 ppm maximum

Ratio = (2 · 11 + 12)/(2 ·12 + 13) = 0.918989 Frequency Error = 44100 − (0.918989 · 48000) = 8.1 Hz or 183 ppm

Although the invention has been described with reference to a specific embodiments, these descriptions are not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternative embodiments of the invention will become apparent to persons skilled in the art upon reference to the description of the invention. It should be appreciated by those skilled in the art that the conception and the specific embodiment disclosed may be readily utilized as a basis for modifying or designing other structures for carrying out the same purposes of the present invention. It should also be realized by those skilled in the art that such equivalent constructions do not depart from the spirit and scope of the invention as set forth in the appended claims.

It is therefore, contemplated that the claims will cover any such modifications or embodiments that fall within the true scope of the invention. 

What is claimed is:
 1. An integrated analog to digital and sample rate converter comprising: sampling circuitry for receiving an analog signal and generating a stream of digital samples at a first rate; a leaky integrator filter for removing quantization noise from said stream of samples; and circuitry for resampling a filtered stream of samples output from said leaky integrator filter to generate an output stream of samples at a second rate.
 2. The converter of claim 1 wherein said first rate is greater than said second rate.
 3. The converter of claim 1 wherein said second rate is greater than said first rate.
 4. The converter of claim 1 wherein said stream of digital samples at said first rate comprises a stream of 1-bit digital samples and said output stream of samples at said second rate comprises a stream of multiple-bit digital data.
 5. The converter of claim 1 wherein said sampling circuitry comprises a delta-sigma modulator.
 6. The converter of claim 1 wherein said leaky integrator filter is a low pass filter filtering-out high frequency quantization noise.
 7. The converter of claim 1 wherein said circuitry for resampling comprises: a digital filter; and resampler circuitry operable to time sample rate conversion at fractional ratios through said digital filter.
 8. The converter of claim 7 wherein said digital filter comprises a decimation filter.
 9. The converter of claim 7 wherein said digital filter comprises an interpolation filter.
 10. An analog to digital converter with integral sample rate conversion comprising: a delta-sigma modulator for sampling an input analog signal and generating a stream of 1-bit digital samples at a first sampling rate; a low pass leaky integrator filter for filtering quantization noise from said stream of 1-bit digital samples; and a digital filter and associated resampler circuitry for generating a stream of multiple-bit digital samples at a second sampling rate.
 11. The analog to digital converter of claim 10 and further comprising resampler circuitry for generating an enable signal for controlling the operation of said digital filter to produce a desired ratio between said first and second sampling rates.
 12. The analog to digital converter of claim 10 wherein said digital filter comprises a decimation filter for decimating from said first sampling rate to said second sampling rate.
 13. The analog to digital converter of claim 12 wherein said digital filter comprises a magnitude compensation filter for compensating for pass-band droop introduced by said leaky integrator filter.
 14. The analog to digital converter of claim 12 wherein said digital filter comprises a phase compensation filter for compensating for non-linear phase shifts introduced by said leaky integrator filter.
 15. The analog to digital converter of claim 12 wherein said leaky integrator filter comprises a second order filter comprising first and second cascaded leaky integrator filter stages.
 16. The analog to digital converter of claim 15 wherein said second order filter has a transfer function in accordance with the equation: H(z)={z ⁻¹/[1−(1−δ)z ⁻¹]}² wherein δ is nominally 2^(δ) with 2⁻⁶.
 17. The analog to digital converter of claim 11 wherein said decimation filter comprises a cascaded intergrator comb filter and an impulse response filter.
 18. A method for converting an analog signal to a stream of digital samples at a selected sampling rate comprising the step of: sampling the analog signal to produce a stream of samples at a first sampling rate; filtering the stream of samples at the first sampling rate with a leaky integrator filter to remove quantization noise; and resampling a filtered stream of samples output from the leaky integrator filter to produce a stream of samples at the selected sampling rate.
 19. The method of claim 18 wherein said step of resampling comprises the step of selectively enabling and disabling a filter with a control signal approximating a ratio between the first sampling rate and the selected sampling rate.
 20. The method of claim 18 wherein said step of filtering comprises the step of passing the stream of samples at the first rate through at least two leaky integrator filter stages.
 21. The method of claim 18 wherein said step of sampling comprises the step of sampling the analog signal to generate a stream of 1-bit digital data at the first sampling rate. 